On Sampling of Very Rare Human Populations

Sudman, Seymour

doi:10.1080/01621459.1972.10482383

Cited by 17 publications

(5 citation statements)

References 1 publication

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“…Undocumented aliens are large segments of some countries (Kelly, 1977;Sudman, 1972;Vigneswaran, 2007). Thus, a sixth type of hard-to-survey group is illegals.…”

Section: Group and Individual Characteristicsmentioning

confidence: 99%

Hard-to-survey populations in comparative perspective

Smith¹

2014

Hard-to-Survey Populations

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“…Undocumented aliens are large segments of some countries (Kelly, 1977;Sudman, 1972;Vigneswaran, 2007). Thus, a sixth type of hard-to-survey group is illegals.…”

Section: Group and Individual Characteristicsmentioning

confidence: 99%

Hard-to-survey populations in comparative perspective

Smith¹

2014

Hard-to-Survey Populations

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“…On the other side, snowball sampling is considered the only technique suitable for sampling "hidden" populations. The term hidden populations, synonymous of very rare human populations or hard to reach populations, is used to refer generally to populations about which no official information exists or which represent less than 2% of the population (Sudman, 1972;Eland-Goossensen et al, 1997;Faugier & Sargeant, 1997). In other words, because of their rarity, these populations are difficult to identify, to reach, and to recruit for research purposes, due to the often-attributed social stigma, their legal status, and the consequent lack of visibility of their members.…”

Section: Identifying and Sampling Undocumented Bulgarian And Polish Mmentioning

confidence: 99%

Identifying and Assessing the Development of Populations of Undocumented Migrants: The Case of Undocumented Poles and Bulgarians in Brussels

Paspalanova

2006

SSRN Journal

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The stocks of undocumented migrants residing on the territory of Europe and the continuous flows of clandestine migrants are currently one of the "hottest" social and political topics. Even though the issue of irregular migration is on the top of many political and academic agendas the knowledge about who the undocumented migrants are, how they can be identified and how their population in a country develops numerically, remains limited. In this context, the aim of the current paper is twofold. In the first place, snowball sampling will be introduced as a technique for identifying undocumented migrants on the territory of a country and in the second, the empirical results from sampling and assessing the stability of the populations of undocumented Poles and Bulgarians in Brussels will be presented.

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“…Sudman (1972), suggested the use of stratification, Bayesian optimum allocation, and sequential analysis to increase cost efficiency. Sudman (1972), suggested the use of stratification, Bayesian optimum allocation, and sequential analysis to increase cost efficiency.…”

Section: Introductionmentioning

confidence: 99%

Optimum Allocation in Stratified Random Network Sampling for Estimating the Prevalence of Attributes in Rare Populations

Levy¹

1977

Journal of the American Statistical Association

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JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org.. American Statistical Association is collaborating with JSTOR to digitize, preserve and extend access to Journal of the American Statistical Association. This work considers estimation of dichotomous characteristics of rare populations by sample survey. In particular, we investigate optimum allocation when a network sampling rule (also called multiplicity rule) is used to link members of the rare population to enumeration units and when the enumeration units are chosen by stratified random sampling. For this situation, formulas are derived for optimum allocation under the restriction that an enumeration unit is linked to at most one member of the rare population, and the cost efficiency of network sampling rules is compared to that of conventional enumeration rules.

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On Sampling of Very Rare Human Populations

Cited by 17 publications

References 1 publication

Hard-to-survey populations in comparative perspective

Hard-to-survey populations in comparative perspective

Identifying and Assessing the Development of Populations of Undocumented Migrants: The Case of Undocumented Poles and Bulgarians in Brussels

Optimum Allocation in Stratified Random Network Sampling for Estimating the Prevalence of Attributes in Rare Populations

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